Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	153116
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	133.3 MiB
Average record size in memory	913.1 B

Variable types

CAT	10
NUM	8

Reproduction

Analysis started	2020-03-04 09:27:18.943790
Analysis finished	2020-03-04 09:33:23.714245
Version	pandas-profiling v2.5.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

`주민번호` has a high cardinality: 46136 distinct values	High cardinality
`가입일자` has a high cardinality: 3284 distinct values	High cardinality
`최종불입일자` has a high cardinality: 2989 distinct values	High cardinality
`담당자` has a high cardinality: 1453 distinct values	High cardinality
`부서` has a high cardinality: 449 distinct values	High cardinality
`가입일자` only contains datetime values, but is categorical. Consider applying `pd.to_datetime()`	Type
`최종불입일자` only contains datetime values, but is categorical. Consider applying `pd.to_datetime()`	Type
`해약금액` has 122654 (80.1%) zeros	Zeros
`연체횟수` has 73514 (48.0%) zeros	Zeros

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct count	153116
Unique (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	88538.39248021109
Minimum	0
Maximum	173196
Zeros	1
Zeros (%)	< 0.1%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	8545.75
Q1	46955.75
median	89654.5
Q3	130969.25
95-th percentile	164510.5
Maximum	173196
Range	173196
Interquartile range (IQR)	84013.5

Descriptive statistics

Standard deviation	49427.24275
Coefficient of variation (CV)	0.5582577385
Kurtosis	-1.152838065
Mean	88538.39248
Median Absolute Deviation (MAD)	42528.61942
Skewness	-0.05564599879
Sum	1.35566445e+10
Variance	2443052326

Histogram
Dynamic Histogram

Histogram with fixed size bins (bins=10)

Histogram with variable size bins (bins=[ 0. 11342.5 19638.5 36391.5 53460.5 ... 169139. 169262.5 172048.5 172094. 173196. ], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
2047	1	< 0.1%
56625	1	< 0.1%
9518	1	< 0.1%
15661	1	< 0.1%
13612	1	< 0.1%
3371	1	< 0.1%
1322	1	< 0.1%
7465	1	< 0.1%
5416	1	< 0.1%
25894	1	< 0.1%
Other values (153106)	153106	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
173196	1	< 0.1%
173195	1	< 0.1%
173194	1	< 0.1%
173193	1	< 0.1%
173191	1	< 0.1%

주민번호
Categorical

HIGH CARDINALITY

Distinct count	46136
Unique (%)	30.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

110111-0000000	70
610315-2000000	28
610310-2000000	26
641220-2000000	26
600315-2000000	25
Other values (46131)	152941

Value	Count	Frequency (%)
110111-0000000	70	< 0.1%
610315-2000000	28	< 0.1%
610310-2000000	26	< 0.1%
641220-2000000	26	< 0.1%
600315-2000000	25	< 0.1%
620215-2000000	25	< 0.1%
470529-1000000	24	< 0.1%
660305-2000000	24	< 0.1%
430210-0000000	24	< 0.1%
600815-2000000	23	< 0.1%
Other values (46126)	152821	99.8%

Length

Max length	14
Mean length	13.99935996
Min length	12

Value	Count	Frequency (%)
Decimal_Number	10	90.9%
Dash_Punctuation	1	9.1%

Value	Count	Frequency (%)
Common	11	100.0%

Value	Count	Frequency (%)
ASCII	11	100.0%

주소
Categorical

Distinct count	33
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

경기	39708
서울	39669
인천	11482
경상	8978
광주	7264
Other values (28)	46015

Value	Count	Frequency (%)
경기	39708	25.9%
서울	39669	25.9%
인천	11482	7.5%
경상	8978	5.9%
광주	7264	4.7%
부산	6756	4.4%
강원	6431	4.2%
전라	5606	3.7%
충청	5588	3.6%
대구	4660	3.0%
Other values (23)	16974	11.1%

Length

Max length	2
Mean length	1.999954283
Min length	1

Value	Count	Frequency (%)
Other_Letter	41	97.6%
Space_Separator	1	2.4%

Value	Count	Frequency (%)
Hangul	41	97.6%
Common	1	2.4%

Value	Count	Frequency (%)
Hangul	41	97.6%
ASCII	1	2.4%

상태
Categorical

Distinct count	5
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

해약	68695
가입	62701
만기	10895
행사	8162
만기_해약	2663

Value	Count	Frequency (%)
해약	68695	44.9%
가입	62701	40.9%
만기	10895	7.1%
행사	8162	5.3%
만기_해약	2663	1.7%

Length

Max length	5
Mean length	2.052176128
Min length	2

Value	Count	Frequency (%)
Other_Letter	8	88.9%
Connector_Punctuation	1	11.1%

Value	Count	Frequency (%)
Hangul	8	88.9%
Common	1	11.1%

Value	Count	Frequency (%)
Hangul	8	88.9%
ASCII	1	11.1%

가입일자
Categorical

HIGH CARDINALITY
TYPE DATE

Distinct count	3284
Unique (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

2014-03-03	642
2014-07-28	577
2014-08-25	562
2014-07-07	532
2014-06-02	526
Other values (3279)	150277

Value	Count	Frequency (%)
2014-03-03	642	0.4%
2014-07-28	577	0.4%
2014-08-25	562	0.4%
2014-07-07	532	0.3%
2014-06-02	526	0.3%
2016-07-25	514	0.3%
2016-07-11	484	0.3%
2014-10-27	477	0.3%
2014-12-22	456	0.3%
2014-09-22	443	0.3%
Other values (3274)	147903	96.6%

Length

Max length	10
Mean length	10
Min length	10

Value	Count	Frequency (%)
Decimal_Number	10	90.9%
Dash_Punctuation	1	9.1%

Value	Count	Frequency (%)
Common	11	100.0%

Value	Count	Frequency (%)
ASCII	11	100.0%

최종불입일자
Categorical

HIGH CARDINALITY
TYPE DATE

Distinct count	2989
Unique (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

2017-12-26	25541
2017-12-20	8216
2017-12-15	7343
2017-12-11	6796
2017-12-05	4818
Other values (2984)	100402

Value	Count	Frequency (%)
2017-12-26	25541	16.7%
2017-12-20	8216	5.4%
2017-12-15	7343	4.8%
2017-12-11	6796	4.4%
2017-12-05	4818	3.1%
2017-12-28	1230	0.8%
2017-11-27	963	0.6%
2017-03-27	689	0.4%
2017-01-25	660	0.4%
2017-07-25	606	0.4%
Other values (2979)	96254	62.9%

Length

Max length	10
Mean length	10
Min length	10

Value	Count	Frequency (%)
Decimal_Number	10	90.9%
Dash_Punctuation	1	9.1%

Value	Count	Frequency (%)
Common	11	100.0%

Value	Count	Frequency (%)
ASCII	11	100.0%

총납입회차
Real number (ℝ_≥0)

Distinct count	22
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	230.86704851223908
Minimum	1
Maximum	390
Zeros	0
Zeros (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	1
5-th percentile	100
Q1	100
median	140
Q3	360
95-th percentile	390
Maximum	390
Range	389
Interquartile range (IQR)	260

Descriptive statistics

Standard deviation	129.0717396
Coefficient of variation (CV)	0.5590738931
Kurtosis	-1.84138557
Mean	230.8670485
Median Absolute Deviation (MAD)	125.1568329
Skewness	0.1519264969
Sum	35349439
Variance	16659.51396

Histogram
Dynamic Histogram

Histogram with fixed size bins (bins=10)

Histogram with variable size bins (bins=[ 1. 43.5 55. 62. 87.5 ... 262. 282. 330. 375. 390. ], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
100	47891	31.3%
360	32925	21.5%
390	32042	20.9%
140	15083	9.9%
260	7509	4.9%
130	6731	4.4%
120	4961	3.2%
60	3451	2.3%
160	1273	0.8%
195	597	0.4%
Other values (12)	653	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	< 0.1%
39	1	< 0.1%
48	7	< 0.1%
50	4	< 0.1%
60	3451	2.3%

Value	Count	Frequency (%)
390	32042	20.9%
360	32925	21.5%
300	47	< 0.1%
264	217	0.1%
260	7509	4.9%

최종불입회차
Real number (ℝ_≥0)

Distinct count	136
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	36.52613704642232
Minimum	1
Maximum	488
Zeros	0
Zeros (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	26
Q3	51
95-th percentile	100
Maximum	488
Range	487
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	40.17973631
Coefficient of variation (CV)	1.100026982
Kurtosis	15.35641539
Mean	36.52613705
Median Absolute Deviation (MAD)	30.11413526
Skewness	2.560806969
Sum	5592736
Variance	1614.41121

Histogram
Dynamic Histogram

Histogram with fixed size bins (bins=10)

Histogram with variable size bins (bins=[ 1. 1.5 2.5 3.5 4.5 ... 280. 330. 375. 439. 488. ], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
1	21268	13.9%
100	17944	11.7%
2	8001	5.2%
3	6334	4.1%
4	4991	3.3%
5	3218	2.1%
42	2866	1.9%
6	2539	1.7%
7	2400	1.6%
8	2324	1.5%
Other values (126)	81231	53.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	21268	13.9%
2	8001	5.2%
3	6334	4.1%
4	4991	3.3%
5	3218	2.1%

Value	Count	Frequency (%)
488	1	< 0.1%
390	158	0.1%
360	378	0.2%
300	1	< 0.1%
260	44	< 0.1%

은행
Categorical

Distinct count	42
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

국민	32528
농협단위조합	30221
농협중앙회	20183
신한	15732
우리	14496
Other values (37)	39956

Value	Count	Frequency (%)
국민	32528	21.2%
농협단위조합	30221	19.7%
농협중앙회	20183	13.2%
신한	15732	10.3%
우리	14496	9.5%
기업	6321	4.1%
하나	6287	4.1%
우체국	5514	3.6%
새마을금고연합회	4217	2.8%
대구	2702	1.8%
Other values (32)	14915	9.7%

Length

Max length	12
Mean length	3.665919956
Min length	2

Value	Count	Frequency (%)
Other_Letter	82	92.1%
Uppercase_Letter	6	6.7%
Space_Separator	1	1.1%

Value	Count	Frequency (%)
Hangul	82	92.1%
Latin	6	6.7%
Common	1	1.1%

Value	Count	Frequency (%)
Hangul	82	92.1%
ASCII	7	7.9%

상품금액
Real number (ℝ_≥0)

Distinct count	22
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3178320.776404817
Minimum	690000
Maximum	5364000
Zeros	0
Zeros (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	690000
5-th percentile	1980000
Q1	2400000
median	3600000
Q3	3900000
95-th percentile	3900000
Maximum	5364000
Range	4674000
Interquartile range (IQR)	1500000

Descriptive statistics

Standard deviation	693113.3697
Coefficient of variation (CV)	0.2180753355
Kurtosis	-1.387084503
Mean	3178320.776
Median Absolute Deviation (MAD)	647152.2876
Skewness	-0.3402970729
Sum	4.86651764e+11
Variance	4.804061433e+11

Histogram
Dynamic Histogram

Histogram with fixed size bins (bins=10)

Histogram with variable size bins (bins=[ 690000. 1890000. 1990000. 2140000. 2340000. ... 4758000. 4956000. 5156000. 5282000. 5364000.], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
3900000	47474	31.0%
3600000	34835	22.8%
2400000	31615	20.6%
2800000	21757	14.2%
1980000	13098	8.6%
3000000	2309	1.5%
3300000	810	0.5%
2640000	268	0.2%
1800000	224	0.1%
2975000	182	0.1%
Other values (12)	544	0.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
690000	2	< 0.1%
1800000	224	0.1%
1980000	13098	8.6%
2000000	50	< 0.1%
2280000	8	< 0.1%

Value	Count	Frequency (%)
5364000	48	< 0.1%
5200000	1	< 0.1%
5112000	78	0.1%
4800000	26	< 0.1%
4716000	56	< 0.1%

총불입액
Real number (ℝ_≥0)

Distinct count	873
Unique (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	712122.1888960004
Minimum	750
Maximum	4880000
Zeros	0
Zeros (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	750
5-th percentile	10000
Q1	60000
median	350000
Q3	1148000
95-th percentile	2400000
Maximum	4880000
Range	4879250
Interquartile range (IQR)	1088000

Descriptive statistics

Standard deviation	861685.3838
Coefficient of variation (CV)	1.210024624
Kurtosis	0.3129419121
Mean	712122.1889
Median Absolute Deviation (MAD)	708763.915
Skewness	1.25307604
Sum	1.090373011e+11
Variance	7.425017006e+11

Histogram
Dynamic Histogram

Histogram with fixed size bins (bins=10)

Histogram with variable size bins (bins=[7.500e+02 8.750e+02 1.250e+03 3.375e+03 3.875e+03 ... 3.342e+06 3.528e+06 3.750e+06 3.990e+06 4.880e+06], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
2400000	12722	8.3%
10000	11793	7.7%
1980000	6129	4.0%
20000	5481	3.6%
30000	4534	3.0%
60000	3761	2.5%
120000	3101	2.0%
40000	2804	1.8%
420000	2599	1.7%
24000	2484	1.6%
Other values (863)	97708	63.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
750	137	0.1%
1000	49	< 0.1%
1500	6	< 0.1%
2000	7	< 0.1%
2250	8	< 0.1%

Value	Count	Frequency (%)
4880000	1	< 0.1%
4848000	1	< 0.1%
4800000	3	< 0.1%
4640000	1	< 0.1%
4500000	1	< 0.1%

해약금액
Real number (ℝ_≥0)

ZEROS

Distinct count	1661
Unique (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	115545.8513284046
Minimum	0
Maximum	3876000
Zeros	122654
Zeros (%)	80.1%
Memory size	1.2 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1032000
Maximum	3876000
Range	3876000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	375223.8071
Coefficient of variation (CV)	3.247401813
Kurtosis	13.58022806
Mean	115545.8513
Median Absolute Deviation (MAD)	200814.4248
Skewness	3.695094923
Sum	1.769191857e+10
Variance	1.407929054e+11

Histogram
Dynamic Histogram

Histogram with fixed size bins (bins=10)

Histogram with variable size bins (bins=[0.000000e+00 3.150000e+02 6.900000e+02 8.000000e+02 1.135000e+03 ... 2.628225e+06 2.628725e+06 2.650710e+06 2.736500e+06 3.876000e+06], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
0	122654	80.1%
10000	6748	4.4%
20000	1373	0.9%
1944000	1235	0.8%
24000	1097	0.7%
1603000	930	0.6%
15000	744	0.5%
28000	481	0.3%
30000	150	0.1%
750	120	0.1%
Other values (1651)	17584	11.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	122654	80.1%
630	17	< 0.1%
750	120	0.1%
850	16	< 0.1%
1000	33	< 0.1%

Value	Count	Frequency (%)
3876000	2	< 0.1%
3664000	1	< 0.1%
3600000	1	< 0.1%
3163310	1	< 0.1%
3000000	2	< 0.1%

납입방법
Categorical

Distinct count	4
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

CMS	150778
카드	1770
무통장	562
현금	6

Value	Count	Frequency (%)
CMS	150778	98.5%
카드	1770	1.2%
무통장	562	0.4%
현금	6	< 0.1%

Length

Max length	3
Mean length	2.988400951
Min length	2

Value	Count	Frequency (%)
Other_Letter	7	70.0%
Uppercase_Letter	3	30.0%

Value	Count	Frequency (%)
Hangul	7	70.0%
Latin	3	30.0%

Value	Count	Frequency (%)
Hangul	7	70.0%
ASCII	3	30.0%

담당자
Categorical

HIGH CARDINALITY

Distinct count	1453
Unique (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

더피플라이프	63559
금강종합상조(주)	28681
강대석	6252
김영권	4854
이덕술	4746
Other values (1448)	45024

Value	Count	Frequency (%)
더피플라이프	63559	41.5%
금강종합상조(주)	28681	18.7%
강대석	6252	4.1%
김영권	4854	3.2%
이덕술	4746	3.1%
김영경	3930	2.6%
심상열	1818	1.2%
고달진	1703	1.1%
김일성	1382	0.9%
안미나	1181	0.8%
Other values (1443)	35010	22.9%

Length

Max length	10
Mean length	5.372110034
Min length	2

Value	Count	Frequency (%)
Other_Letter	227	98.3%
Uppercase_Letter	2	0.9%
Close_Punctuation	1	0.4%
Open_Punctuation	1	0.4%

Value	Count	Frequency (%)
Hangul	227	98.3%
Common	2	0.9%
Latin	2	0.9%

Value	Count	Frequency (%)
Hangul	227	98.3%
ASCII	4	1.7%

부서
Categorical

HIGH CARDINALITY

Distinct count	449
Unique (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

김선	20524
차용갑	20441
관리부	19657
직영팀	15346
특판영업	10421
Other values (444)	66727

Value	Count	Frequency (%)
김선	20524	13.4%
차용갑	20441	13.4%
관리부	19657	12.8%
직영팀	15346	10.0%
특판영업	10421	6.8%
강대석	7831	5.1%
이진희	6187	4.0%
이덕술	6070	4.0%
CJ오쇼핑	5549	3.6%
이길숙	4422	2.9%
Other values (439)	36668	23.9%

Length

Max length	12
Mean length	3.246492855
Min length	2

Value	Count	Frequency (%)
Other_Letter	237	94.0%
Uppercase_Letter	8	3.2%
Decimal_Number	4	1.6%
Close_Punctuation	1	0.4%
Open_Punctuation	1	0.4%
Other_Punctuation	1	0.4%

Value	Count	Frequency (%)
Hangul	237	94.0%
Latin	8	3.2%
Common	7	2.8%

Value	Count	Frequency (%)
Hangul	237	94.0%
ASCII	15	6.0%

연체횟수
Real number (ℝ)

ZEROS

Distinct count	318
Unique (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	20.484456229264087
Minimum	-459
Maximum	119
Zeros	73514
Zeros (%)	48.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	-459
5-th percentile	0
Q1	0
median	1
Q3	39
95-th percentile	95
Maximum	119
Range	578
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	38.2442983
Coefficient of variation (CV)	1.866991141
Kurtosis	24.27641614
Mean	20.48445623
Median Absolute Deviation (MAD)	26.84935916
Skewness	-2.094260032
Sum	3136498
Variance	1462.626353

Histogram
Dynamic Histogram

Histogram with fixed size bins (bins=10)

Histogram with variable size bins (bins=[-459. -383. -373.5 -354.5 -351.5 ... 98.5 99.5 116.5 118.5 119. ], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
0	73514	48.0%
1	3196	2.1%
99	3194	2.1%
45	1754	1.1%
38	1494	1.0%
41	1435	0.9%
37	1411	0.9%
2	1377	0.9%
98	1293	0.8%
46	1264	0.8%
Other values (308)	63184	41.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-459	1	< 0.1%
-386	1	< 0.1%
-380	2	< 0.1%
-379	2	< 0.1%
-378	1	< 0.1%

Value	Count	Frequency (%)
119	111	0.1%
118	63	< 0.1%
117	59	< 0.1%
116	36	< 0.1%
115	37	< 0.1%

성별
Categorical

Distinct count	2
Unique (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.2 MiB

여	80553
남	72563

Value	Count	Frequency (%)
여	80553	52.6%
남	72563	47.4%

Length

Max length	1
Mean length	1
Min length	1

Value	Count	Frequency (%)
Other_Letter	2	100.0%

Value	Count	Frequency (%)
Hangul	2	100.0%

Value	Count	Frequency (%)
Hangul	2	100.0%

나이
Real number (ℝ_≥0)

Distinct count	89
Unique (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	57.952415162360566
Minimum	21
Maximum	120
Zeros	0
Zeros (%)	0.0%
Memory size	1.2 MiB

Quantile statistics

Minimum	21
5-th percentile	35
Q1	49
median	58
Q3	68
95-th percentile	80
Maximum	120
Range	99
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	13.49965084
Coefficient of variation (CV)	0.2329437143
Kurtosis	-0.4155432677
Mean	57.95241516
Median Absolute Deviation (MAD)	10.95249507
Skewness	-0.03494343087
Sum	8873442
Variance	182.2405728

Histogram
Dynamic Histogram

Histogram with fixed size bins (bins=10)

Histogram with variable size bins (bins=[ 21. 22.5 24.5 25.5 26.5 ... 105. 108.5 109.5 119.5 120. ], "bayesian blocks" binning strategy used)

Value	Count	Frequency (%)
60	4880	3.2%
59	4754	3.1%
61	4521	3.0%
58	4505	2.9%
62	4315	2.8%
56	4298	2.8%
55	4253	2.8%
52	4181	2.7%
63	4158	2.7%
65	4050	2.6%
Other values (79)	109201	71.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21	2	< 0.1%
22	16	< 0.1%
23	39	< 0.1%
24	32	< 0.1%
25	81	0.1%

Value	Count	Frequency (%)
120	7	< 0.1%
119	3	< 0.1%
118	1	< 0.1%
117	1	< 0.1%
114	2	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Count
Matrix

First rows

	df_index	주민번호	주소	상태	가입일자	최종불입일자	총납입회차	최종불입회차	은행	상품금액	총불입액	해약금액	납입방법	담당자	부서	연체횟수	성별	나이
0	0	590318-1000000	경기	만기	2008-09-08	2016-12-20	100	100	농협단위조합	2400000	2400000	0	CMS	더피플라이프	관리부	0	남	61
1	1	581125-1000000	경기	행사	2007-09-28	2012-10-04	100	100	국민	2400000	2400000	0	CMS	더피플라이프	관리부	0	남	62
2	2	831121-1000000	부산	가입	2007-10-23	2013-05-20	100	68	농협중앙회	2400000	1632000	0	CMS	더피플라이프	관리부	32	남	37
3	3	821023-1000000	울산	행사	2007-10-23	2014-12-31	100	100	국민	2400000	2400000	0	CMS	더피플라이프	관리부	0	남	38
4	4	340728-2000000	경기	만기	2007-10-31	2016-01-05	100	100	우리	2400000	2400000	0	CMS	더피플라이프	관리부	0	여	86
5	5	520206-1000000	서울	해약	2007-11-19	2013-08-05	100	70	기업	2400000	1680000	1212000	CMS	더피플라이프	관리부	30	남	68
6	6	760210-1000000	서울	만기	2008-03-31	2016-06-20	100	100	국민	2400000	2400000	0	CMS	더피플라이프	관리부	0	남	44
7	7	541016-2000000	충남	가입	2008-04-14	2017-12-20	100	97	농협단위조합	2400000	2328000	0	CMS	더피플라이프	관리부	0	여	66
8	8	521001-2000000	서울	해약	2008-09-23	2016-08-25	100	96	신한	2400000	2304000	1866000	CMS	더피플라이프	관리부	4	여	68
9	9	530815-2000000	서울	만기	2008-09-23	2016-12-30	100	100	농협중앙회	2400000	2400000	0	CMS	더피플라이프	관리부	0	여	67

Last rows

	df_index	주민번호	주소	상태	가입일자	최종불입일자	총납입회차	최종불입회차	은행	상품금액	총불입액	해약금액	납입방법	담당자	부서	연체횟수	성별	나이
153106	173184	320814-2000000	부산	해약	2008-12-19	2013-09-23	100	58	우체국	2400000	1392000	912000	CMS	더피플라이프	관리부	42	여	88
153107	173185	520228-1000000	부산	해약	2008-12-19	2015-10-20	100	83	국민	2400000	1992000	1613000	CMS	더피플라이프	관리부	17	남	68
153108	173186	660312-2000000	부산	해약	2008-12-22	2013-10-14	100	54	농협중앙회	2400000	1296000	828000	CMS	더피플라이프	관리부	46	여	54
153109	173189	370127-1000000	경남	해약	2008-12-23	2010-07-26	100	20	국민	2400000	480000	0	CMS	더피플라이프	관리부	80	남	83
153110	173190	561026-2000000	부산	해약	2009-01-07	2009-03-20	100	3	농협단위조합	2400000	72000	0	CMS	더피플라이프	관리부	97	여	64
153111	173191	761012-1000000	부산	해약	2009-01-07	2009-04-27	100	3	국민	2400000	72000	0	CMS	더피플라이프	관리부	97	남	44
153112	173193	820807-1000000	부산	해약	2008-12-16	2012-06-29	60	43	부산	2400000	1720000	1240000	CMS	더피플라이프	관리부	17	남	38
153113	173194	830402-1000000	부산	만기	2008-12-16	2013-11-25	60	60	새마을금고연합회	2400000	2400000	0	CMS	더피플라이프	관리부	0	남	37
153114	173195	490809-2000000	부산	해약	2008-12-16	2008-12-18	60	1	부산	2400000	40000	0	CMS	더피플라이프	관리부	59	여	71
153115	173196	540801-2000000	부산	해약	2008-12-16	2009-11-25	60	12	국민	2400000	480000	0	CMS	더피플라이프	관리부	48	여	66

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Missing values

Sample

First rows

Last rows